sweetice / Deep-reinforcement-learning-with-pytorchLinks
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
☆4,496Updated 2 years ago
Alternatives and similar repositories for Deep-reinforcement-learning-with-pytorch
Users that are interested in Deep-reinforcement-learning-with-pytorch are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,851Updated 3 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,987Updated 2 years ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,234Updated last year
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,894Updated last year
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,372Updated last year
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,995Updated last month
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,308Updated 8 months ago
- Collection of reinforcement learning algorithms☆2,808Updated last year
- ☆1,028Updated 2 years ago
- Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.☆1,407Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,078Updated 4 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,137Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,257Updated 4 years ago
- Some basic examples of playing with RL☆1,257Updated 10 months ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,300Updated 6 years ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,097Updated 2 years ago
- 32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each projec…☆962Updated 4 years ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,535Updated 3 years ago
- Simple A3C implementation with pytorch + multiprocessing☆656Updated 2 years ago
- Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments☆855Updated 5 years ago
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,228Updated 3 weeks ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,360Updated last year
- Source codes for the book "Reinforcement Learning: Theory and Python Implementation"☆997Updated 3 weeks ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆542Updated 7 years ago
- PyTorch implementation of soft actor critic☆921Updated 4 months ago
- Python Multi-Agent Reinforcement Learning framework☆2,112Updated 2 years ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,896Updated last year
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,657Updated 3 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,760Updated last year
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,678Updated 3 years ago